Clinical-Deep Neural Network and Clinical-Radiomics Nomograms for Predicting the Intraoperative Massive Blood Loss of Pelvic and Sacral Tumors

BACKGROUND: Patients with pelvic and sacral tumors are prone to massive blood loss (MBL) during surgery, which may endanger their lives. PURPOSES: This study aimed to determine the feasibility of using deep neural network (DNN) and radiomics nomogram (RN) based on 3D computed tomography (CT) feature...

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Detalles Bibliográficos
Autores principales: Yin, Ping, Sun, Chao, Wang, Sicong, Chen, Lei, Hong, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574215/
https://www.ncbi.nlm.nih.gov/pubmed/34760700
http://dx.doi.org/10.3389/fonc.2021.752672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574215/
https://www.ncbi.nlm.nih.gov/pubmed/34760700
http://dx.doi.org/10.3389/fonc.2021.752672

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